14 Data Mining Projects With Source Code
Introduction, what is data mining, data mining projects for beginners, 1. housing price predictions, 2. smart health disease prediction using naive bayes, 3. online fake logo detection system, 4. color detection, 5. product and price comparing tool , data mining projects for intermediate, 6. handwritten digit recognition, 7. anime recommendation system, 8. mushroom classification project, 9. evaluating and analyzing global terrorism data , data mining projects for advanced, 10. image caption generator project, 11. movie recommendation system, 12. breast cancer detection, 13. solar power generation forecaster, 14. prediction of adult income based on census data, why are data mining projects so important, additional resources.
In today’s digital era, data has become the most important tool. All the computing processes right from the inception of collecting, tidying, analyzing, and finally interpreting it according to the business strategies is done on data. Every second, billions of data is generated to understand customers’ necessity for new offers, analysis of market risks and much more. With technological advancement, businesses and firms tend to follow data mining programs to develop all the future schemes.
The process of extracting the most useful information from lots of data to quickly identify all the present trends and patterns for businesses and huge firms to understand customers and make out important decisions is called Data Mining. In simple terminology, data mining is a way to recognize hidden patterns from the extracted information of the data required for the business with the help of data wrangling techniques to categorize important data stored in proper data warehouses with the help of data mining algorithms to generate maximum revenue for a business. Data mining, also known as knowledge discovery of data (KDD), uses highly complex mathematical algorithms for segregating data to evaluate the probability of the future decisions for the company’s business.
If you are planning to build your career in data mining, regardless of the fact that you are a student or a professional data analyst, it is always beneficial to have some outstanding data mining project ideas on hand. Not only building projects on data mining will help in building a strong portfolio, but also it will enhance skills.
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Undeniably, data mining is an amazing career option and for that, following are outstanding data mining project ideas for beginners, intermediate and advanced students along with source code for additional help.
Let’s look at some data mining project examples for beginners.
In this data mining project, a housing dataset is used which includes all the prices of the different houses. In this project, the dataset for prediction of price is added along with location, size of the house, and additional information required for it. Depending on the level of sophistication, you can follow a predictive model with simple techniques such as regressions or machine learning libraries. The application of this project is in the real estate companies. This project utilizes algorithms and techniques for price predictions of the houses based on different housing datasets. Either you can carry out linear regression with a data analytics tool such as Tableau or Excel, or you can choose a machine learning library along with programming language “R” or Python.
Source Code: Housing Price Predictions
Nowadays, medical care is something that anyone might need immediately, but unavailable due to various reasons. The smart health disease prediction is an end user support system that allows users to get guidance immediately with the help of an online intelligent health system. The system holds complete information about symptoms and the diseases associated with it. The system analyzes diseases associated with the symptoms for the patient and advises them for X-ray, blood test or CT scan as requested by the system. Users can also directly get in touch with the specialist doctors for any ailment and share your reports. It is not just one time, rather a proper login detail is shared for future use.
Source Code – Smart Health Disease Prediction
Each year, thousands of brands lose a huge portion of the sales due to unauthorized knock off brands and their counterfeits. These counterfeit products are made up of inferior quality and hence damage the credibility of the brand. Moreover, consumers feel cheated with their hard-earned money while shelling it out for just a mere counterfeit. Online fake logo detection system will distinguish between original product and forgeries for the consumers. Along with helping users to fight against the forged products, it also helps brands to combat piracy.
There are around 16 million colors according to different RGB color values, but a human mind can only remember quite a few. It is common that after seeing the color, you are still not able to name the color. In this data mining project, you are going to build an amazing app which is going to help in recognizing color from any image. All you need is a labeled data of available colors and then the program runs to evaluate which color resembles most with the selected color value and helps in detecting colors easily. You can use the Python programming language in which Codebrainz Color Names dataset will be used for the project.
Source Code: Color Detection
With the increase in popularity of e-commerce portals, shopping websites are magnifying to a great extent to enable online shoppers to purchase anything with just one click and get it delivered at your doorstep. To purchase an item, people tend to spend quite a lot of time in searching a product and comparing it with other websites by themselves. In this project, you can compare product and price of a product to buy cheap and best deal available. Also, it will track consumer demand and inform when the commodity price is lowest and notify consumers proactively.
Source Code: Price Comparing tool
Let’s look at some data mining project examples for intermediates.
One of the best data mining projects is the Handwritten Digit recognition project among the data scientists and all the machine learning enthusiasts. In this project, machine learning algorithms are used to distinguish and classify images of the digits written by hand. With the help of computer vision AI model, machine learning techniques and Convolutional Neural Networks, this project can be created which will have a nice graphical user interface to write or draw on the canvas and for the output a model is good to predict the digit. Python and R, both are good languages for this project. Python’s Scikit-learn model using algorithms such as K-Nearest Neighbors and a Support Vector Classifier will be apt for the project.
Source Code: Handwritten Digit recognition
Looking out for data mining projects with source code? The Anime Recommendation system is one of the best projects as it includes a data set containing information regarding user preference from 73,516 users on 12,294 anime. Every user in the database will be able to add anime to the list and share ratings compiling a data set with those ratings. Anime recommendation system project helps in creating a system that produces efficient data based on the user viewing history and sharing rating.
Source Code: Anime Recommendation System
In this data mining project, details of the samples related to the 23 species of gilled mushrooms from the Lepiota and Agaricus Family of Mushrooms available in the Audubon Society Field Guide to North American Mushrooms (1981). Each mushroom variety is categorized as edible, poisonous, unknown edibility or not recommended. So, in this project you will be able to distinguish mushrooms from the respective group although there is no rule “leaflets three, let it be” to define if it is edible or not.
Source Code: Mushroom Classification
Terrorism has mushroomed due to its deep roots at certain locations of the world. With increase in its activities, it is important to stop its spread or analyze the global terrorism data to identify the terrorist activities. Internet plays a major role in spreading terrorism by way of videos and speeches among youth to join the terrorist organizations. This project will help in detecting, evaluating, and analyzing global terrorism data and flag them for human review. Data mining helps in scanning and mining from all the unorganized and unstructured pages or data available that promotes terrorism and flag them.
Source Code: Evaluating and Analyzing Global Terrorism Data
Let’s look at some data mining project examples for advanced learners.
In this interesting data mining project, image is an easy and memorable task for human beings, but for computers just a bunch of numbers for each pixel of color value. In this project, the most difficult task for the computer is to understand the image and then generate the description of it. If you are planning to go with Python programming language, Keras framework would be perfect with Flickr 8K data set.
Source Code – Image Caption Generator
Top-Notch companies such as Amazon or Netflix use this system to recommend their customers with the movies in their database. To design this movie recommendation project, you can choose any one approach out of two. First option is a content-based filter in which the system finds some similarity around different projects in terms of features or attributes that could be actor, genre or director of the movie. Another option is collaborative filtering that compares tastes of two accounts and suggests based on the user ratings. This system helps companies to engage their customers to the respective platforms. You can use MovieLens dataset if opting to go with the R programming language.
Source Code: Movie Recommendation System
Data mining projects hold a special place in medical contributions. In this project, breast cancer is detected using the Python programming language. In this IDC_regular dataset helps in detecting actual presence of the commonest form of breast cancer i.e., Invasive Ductal Carcinoma. In this form of cancer, it targets milk ducts invading the fibrous or fatty breast tissue outside the duct. If you want to build this project using Python language, you should use Keras library for classification and IDC_regular dataset.
Source Code: Breast Cancer Detection
With the help of extracted data from two solar power plants over a period of 34- days, two pairs of files are available. Each pair includes one power generation dataset, and another is sensor reading dataset. In the power generation dataset, each inverter extracts information which has several lines of solar panels connected to it. An array of sensors optimally located at the plant collects the sensor data. In this project, you will be able to get answers of the amount of power generated in a month, any faulty performing equipment in the plant or panel cleaning/ maintenance update.
In this project, the dataset is evaluated based on a transparent open box (TOB) network for data mining and predictions. It provides accurate information from the hourly data record from power generation dataset and sensor reading dataset.
The following project is the classification project to predict the income level of an individual that exceeds 50K based on the census data available at the repository. The dataset that is used in the projects are variables such as age, type of work, working hours, sex and many more. It helps in understanding the standard of living of the city, benefit of setting up the business or bank loan eligibility. Also, it helps in understanding the real estate preferences by average income of the people residing in the area. In this project, you will also be able to figure out the type of tourist places that people from other countries would like to travel.
Source Code: Adult Census Income Level Prediction
In this data-centric world, data mining projects hold great importance in everyday life. It provides us a reliable source of resolving tough problems and different issues in this challenging world. Some of the benefits are: –
- With the help of new and legacy systems, data mining helps in making well-informed decisions.
- It offers cost-effective solutions compared to other applications designed with other technologies.
- It helps data scientists to deal with huge amounts of data and scrutinize the essential data out of it.
- It makes businesses make profitable production and operational adjustments according to the demand.
To cut the long story short, data mining is the process of analyzing huge chunks of data to discover business intelligence which helps in solving problems, seizing new opportunities, and mitigating long term risks. The process of discovering useful patterns and relationships in large volumes of data helps in understanding a problem deeply and tactics to deal with it diligently. It is widely used in research, medical, business and security to turn large data into useful information. Get started from the above list of projects from beginner to advanced and sharpen your skills. These data mining projects with source code will help in learning new abilities.
How do you create a data mining project?
To create a data mining project, follow these steps
- Understand business and project’s objective
- Understand the problem deeply and collect data from proper sources.
- Cluster the essential data to resolve the business problem.
- Prepare the model using algorithms to ascertain data patterns.
- Evaluate the data according to the business goal or to find a remedy for the problem.
- Last, deploy the solution and get the results to make decisions.
What are the 3 types of data mining?
The 3 types of data mining are
- Hypothesis testing
- Directed data mining
- Undirected data mining
What tools are used in data mining?
Top tools used in data mining are
- Rapid Miner
- Oracle Data Mining
- IBM SPSS Modeler
What are different tasks associated with data mining?
The following activities are performed for data mining.
- Classification
- Association Rule Discovery
- Sequential Pattern Discovery
- Deviation Detection
Data mining is a process of analyzing big data and creating business intelligence decisions. You can pick data mining projects to strengthen your skills and climb the success ladder. Whether you are a beginner, intermediate or advanced learner, this list will help you in proving your mettle.
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15 Data Mining Projects Ideas with Source Code for Beginners
Explore some easy data mining projects ideas with source code in python for beginners to strengthen your skills and build a portfolio to get you hired.
In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code.
Table of Contents
- Easy Data Mining Projects
Data Mining Projects for Students/ Beginners
Data mining projects using weka.
- Data Mining Projects with Source Code
Data Mining Projects Github
Faqs on data mining projects, 15 top data mining projects ideas.
Data Mining involves understanding the given dataset thoroughly and concluding insightful inferences from it. Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset. They often miss the crucial step of performing basic statistical analysis on the dataset to understand it better. This basic analysis helps in realising important features of the dataset and saves time by assisting in selecting machine learning algorithms that one should use.
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This blog has a list of Data Mining project ideas to help our readers learn the significance of analysing a dataset before applying machine learning methods. All the project ideas in this blog have been divided into the following five categories for your convenience.
Simple Data Mining Projects on Kaggle
Data Mining Projects for Students /Beginners
Data Mining Python Projects with Source Code
Suppose you have no idea about data mining projects, what is it, why should one study them, and how it works, then these data mining project ideas for beginners might be a great start for you. Below you will find simple projects on data mining that are perfect for a newbie in data mining.
Data Mining Project on Walmart Dataset
Dataset: In this Data Mining project, you will use the Walmart dataset, which has historical data of sales, markdown data, and macro-economic feature values for the Walmart stores. The dataset has three files, namely features_data, sales_data, and stores_data.
Project Idea: By merging using unique key values, you can take a look at the statistics of the dataset using Pandas dataframes and Matplotlib library of Python Programming language. The dataset has non-numerical values and a few random negative values for certain features. So, by working on this dataset, you can learn how to handle such kinds of values. You can try performing univariate and bivariate analyses for feature variables to draw insightful conclusions from the data. Data Mining Project with Source Code in Python and Guided Videos - Machine Learning Project-Walmart Store Sales Forecasting .
New Projects
Data Mining Project on Credit Card Fraud Detection Dataset
Many people are interested in using a credit card for the benefits it usually provides. Still, when the thought of fraudulent transactions through the card crosses their minds, they immediately drop the idea of owning it. Credit card issuing companies thus have to ensure that the fraudulent transactions are kept as low in number as possible.
Dataset: For this project, you can use the Credit Card Fraud Detection Dataset on Kaggle to build one of the most interesting data mining mini-projects. The dataset has as many as 31 columns for you to explore.
Project Idea: You can learn how to apply the Nearmiss technique and SMOTE method for undersampling and oversampling data respectively. You can scale different variables to draw better conclusions from the data and also learn how to treat outliers in a dataset.
Complete Solution: Credit Card Fraud Detection Data Science Project
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Data Mining Project on Wine Quality Dataset
If you are looking for data mining projects using R or data mining projects with source code in R, then this project is a must try.
Dataset: For this project, you can use the R programming language. The dataset for this project is multivariable and is readily available on the UCI Machine Learning Repository. It contains information about red and white wine. You can work with a dataset of each type of wine separately or work with both datasets.
Project Idea: The dataset has chemical features like pH, acidity content, sugar content, citric acid content, etc., for different samples of wine. Using R, you can plot different kinds of graphs like box plots and univariate plots. You can also learn how to perform correlation analysis and bivariate analysis by working with this dataset.
Complete Solution: Wine Quality Prediction in R using Kaggle Wine Dataset
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If you have a fair idea of simple data mining projects and want to become a pro at data mining, you should start with this section. This section has a list of data mining projects for beginners.
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Data Mining Project on Sentiment Analysis
For eCommerce websites like Amazon, Flipkart, eBay, Alibaba, the customers’ feedback on all the products is crucial. They motivate a more significant number of customers by convincing them that the products are worth the price.
Dataset: For this project, you can download the Drug Review Dataset from UCI Machine Learning Repository. The dataset has many columns, including patients’ ID, name of the drug, the disease a specific patient is suffering from, review for the drug, etc.
Project Idea: As you must have observed on popular eCommerce websites, the reviews are not always informative. So, the first thing you can do is analyse the dataset and separate the relevant and informative reviews from the non-relevant ones. A simple approach for this would be to pick lengthy reviews. To better understand the customers’ sentiments, you can use Python to evaluate metrics like Noun score, Review polarity, Review subjectivity, etc.
Complete Solution: Ecommerce product reviews - Pairwise ranking and sentiment analysis
Data Mining Project on Financial Dataset
Covid-19 has affected a large number of lives that humankind could not even estimate. During this pandemic, the world witnessed the global market going through abrupt and unexpected highs and lows.
Dataset: As a fun idea, an Indian user on Kaggle came up with a fun idea of collecting data for data mining projects. He prepared a google form and circulated it among individuals to collect information about their financial investments . So, the dataset has an individuals’ gender and age along with the details about their deposits in different investment options (gold bonds, PPF, Fixed deposits, etc.)
Project Idea: With the help of the Kaggle user’s dataset to analyse the preferences of Indians in investing their money. You can also do a gender-based analysis to understand which gender is likely to pick specific investment options. As the dataset also contains the age of the individuals, you can use it to know the bias of younger and older people for investing their money.
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Data Mining Project on a Customers Dataset
For a company, analysing its customers’ preferences is very important. Most companies have now started mining customers data to understand their customers’ choices and behaviour better. This approach helps them recommend appropriate products to their customers and inventory management of their warehouses.
Dataset: For this project, you can work with the Foodmart Store Dataset. This dataset has information on the customers of Foodmart, a convenience store chain in the US. They have provided different files for different feature values, such as products data, sales statistics, etc.
Project Idea: You can merge the different dataset files and start the data mining process by cleaning it a bit. After the basic steps, you can perform univariate and bivariate analyses on the dataset. You can use the dataset to evaluate associate rules for customers purchases. Using this dataset, you can explore the differences between Apriori and Fpgrowth algorithms. Additionally, you can implement other data science techniques used for Market Basket Analysis.
Complete Solution by ProjectPro: Market basket analysis using apriori and fpgrowth algorithm
Recommended Reading: 7 Types of Classification Algorithms in Machine Learning
Weka stands for Waikato Environment for Knowledge Analysis. It is a tool developed by the University of Waikato to make mining data from various datasets an easy task. If you want to experience how to use Weka, check out the data mining sample projects below.
Data Mining Project on Boston House Pricing Dataset
Boston House Pricing Dataset is one of the most popular datasets among beginners in Data Mining and Machine Learning . You can easily download the dataset from the UCI Machine Learning Repository.
Dataset: The dataset has details of 506 houses. The details are contained in 14 columns that describe various characteristics of the houses.
Project Idea: After importing the Weka dataset, you can easily visualise all the features using the “Visualise all” buttons. Notice the distribution of each variable in the resulting graph and conclude it. You can view the relationship between variables by clicking on the Visualize tab and playing with the point size to see all the plots. You can use Weka to perform feature selection and effortlessly create normalise and standardised versions of the dataset. You can also implement data analysis methods on this dataset to explore it in depth.
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Data Mining Project on Students Performance Dataset
It will not be difficult for most of us to appreciate that a class in any school never has students of the same kind. Each student has an individual personality that defines their behaviour and interests. Not all of them are good at academics. It is thus an exciting task to work on the dataset of a class and analyse student performances.
Dataset: There is a Student Performance dataset available on Kaggle that you can use for this data mining project. It contains information about the socio-economic background of students and their grades in various subjects.
Project: You can use the dataset to analyse the significance of socio-economic factors in affecting a student’s performance. You can do a gender-based analysis as well for understanding how gender relates to the student’s grades.
When browsing the internet for data mining projects for final year students, most students look for easy implementation examples and have their source code readily available. The code allows them to understand the difficulty level and customise their projects. If you are a final year student looking for such projects, look at the list of projects below.
Data Mining Project on Cafe Dataset
You can find another interesting application of data mining projects in the datasets of food cafes. Deciding the items and their prices on a menu card is not an easy task for cafe owners. They have to constantly analyse their customers’ choices to set the optimum prices of their food items on the menu.
Dataset: The dataset for this project can be downloaded from here . It has three files that contain information about the cafe’s sales, transactions, and time labels for each transaction.
Project Idea: Using the dataset mentioned above, you can verify a few fundamental economic trends in the dataset as a first step. These trends will include analysing price trends and sales of all the items, sales on special holidays and weekends, and more such trends. You can draw more insights by visualising the dataset through the seaborn library of the Python Programming Language. Another metric that you must evaluate for this project is the Price Elasticity of all cafe items.
Source Code: Machine Learning project for Retail Price Optimization
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Data Mining Project on Amazon Review Dataset
Amazon Reviews are a boon for customers and Amazon itself as it can analyse the data to draw relevant inferences.
Dataset: The dataset you can work on for this project will be the Amazon Reviews/Rating dataset which has about 2 million reviews for different products.
Project Idea: Hands-on practice on this data mining project will help you understand the significance of cosine similarity and centred cosine similarity. And, after normalising the ratings, you can create a user-item matrix to identify similar customers.
Source Code: Build a Collaborative Filtering Recommender System in Python
Data Mining Project on San Francisco Salaries Dataset
When there are severe disparities in the distribution of wealth among the rich and the poor of a country, it is termed economic inequality. There could be many reasons behind it, like income inequality, social differences, etc. One can work on a salary dataset to understand the situation better.
Project Idea: For this project, you can use the San Francisco Salaries Dataset to understand the income inequality in San Francisco city. In addition, you can also analyse the factors responsible for the promotions of certain employees. It would be easy to use the R programing language for this project and visualise the datasets through ggplot, scatter plots, box plots, and whisker plots. To look at the distribution of the salaries, you can also try plotting the density plots.
If you are looking for data mining projects using R, you must add this project to your list of cool data mining projects.
Source Code: Explore San Francisco City Employee Salary Data
Data Mining Project on MNIST Dataset
Modified National Institute of Standards and Technology (MNIST) released a widely used dataset by beginners in Deep Learning. That is because most new algorithms are tested on it for analysing their performance and efficiency.
Dataset: The MNIST dataset has about 10K grayscale images of handwritten digits (0 to 9), with each image having the size of 28 x 28 px. You can easily access the dataset in Python through its TensorFlow library.
Project Idea: Python has exciting libraries like Seaborn and Matplotlib’s Pyplot for visualising any kind of dataset. Using these libraries, you can analyse different types of handwriting styles of people for the same number. As a bonus, you can try designing a CNN model using Keras and Tensorflow to predict the digit for a given image.
Source Code: Digit Recognizer Data Science Project using MNIST Dataset
Data Mining Project on Fake News Dataset
With the internet becoming easily accessible to the world, information is now available to us at the touch of a button. We no more need to spend hours looking for books to know the answers as they are just a google search away. While this is a boon for most of us, it occasionally becomes a bane as we come across web pages with irrelevant and misleading information.
Dataset: You can use the Fake News dataset available on Kaggle for this project. It has a collection of fake and real news articles. The information provided to you will be in columns that contain
unique id for each article
Title of the article
Author of the article
The text contained in the article
A tag that denotes whether the article is fake or relevant.
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Project Idea: The Fake news dataset can be explored to understand the characteristics of fake news articles. You can plot different graphs in Python to analyse the important keywords specific to fake news texts. Also, you can identify authors who are usually behind this. If you have a thing for NLP , you can try a few methods to inspect the dataset better.
Complete Solution: Fake News Classification Project with Source Code and Guided Videos in Python
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GitHub is the go-to website if you are particularly interested in straightforward data mining projects with source code. These projects are easy to understand, and GitHub users write beginner-friendly codes for the newbies in Data Mining projects. Below we have listed data mining application projects that are pretty popular and easy to implement.
Data Mining Project on Mushroom Classification
Many people avoid eating mushrooms as they don’t have an excellent idea of which mushrooms are poisonous and edible. It thus becomes essential to understand different types of mushrooms so that everyone can enjoy the taste of mushrooms without any worries.
Dataset: Kaggle has a dataset on Mushrooms that contains interesting information about different types of mushrooms. The dataset mostly has physical features of the mushrooms like cap colour, cap shape, gill colour, gill shape, etc. Each mushroom has been labelled as ‘e’ (edible) or ‘p’ (poisonous).
Project Idea: For this project, we suggest you analyse both the edible and poisonous mushrooms separately. This approach will allow you to understand which factors are more prominent in deciding the nature of mushrooms.
GitHub Repository: By Johanata Rodrigo: Mushroom's data mining
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Data Mining Project on Heart Disease Prediction
Healthcare is another domain where data mining techniques are widely used. If you are curious about data mining projects in healthcare, you should explore the heart disease dataset from the UCI Machine Learning Repository.
Dataset: The dataset contains 75 particulars of 303 people. These particulars include parameters related to an individual’s heart health like age, gender, serum cholesterol, blood sugar, etc.
Project Idea: For this project, you are advised to remove features that have missing values. So, you will be left with a dataset of 14 attributes. For this project, you can perform gender-based and age-based analysis to answer questions like -
What percentage of younger people are prone to be diagnosed with heart disease?
Are women more prone to heart diseases, or is it the other way?
Apart from this, you can study the parameters that play a vital role in determining the health condition of people’s hearts.
GitHub Repository: Heart-disease-prediction by Mansi Aggarwal
Data Mining Project on Netflix Dataset
Analyzing Netflix data provides insights into consumer preferences, which can be used to inform content creation and acquisition decisions. It can also help to optimize recommendations, improve user experience, and increase customer retention. Additionally, data analysis can reveal trends in viewer behavior and inform advertising strategies.
Dataset: The "Netflix Dataset.csv" contains information on over 7,000 movies and TV shows available on Netflix as of 2019, including titles, directors, cast, ratings, duration, release year, and genre.
Project Idea: This project is an example of performing data mining techniques on a dataset of Netflix movies and TV shows using Python libraries and machine learning techniques. The project explores the data using descriptive statistics and visualizations and uses machine learning models to predict movie ratings. The project demonstrates the power of data mining and analysis in understanding trends and making predictions in the entertainment industry.
GitHub Repository: Netflix Data Analysis by Kosaraju Sai Manas
Why you should work on Data Mining Projects?
Data Mining refers to the art of implementing statistical algorithms and mathematical techniques to understand the given dataset better. It also involves drawing interesting and relevant conclusions from different datasets. Businesses can then use these conclusions for decision making.
This blog introduced you to a few of the best data mining projects popular among the Data Science community. If you are looking forward to building a career in Data Science, data mining projects should be the first goal on your task list. That is because most Data Science and Machine Learning projects require you to first utilise basic data mining techniques before applying any machine learning algorithms to them.
Of course, as a beginner in Data Science, it is tough to have datasets for data mining projects and have their solution code to understand the data mining techniques.
ProjectPro’s solved end-to-end projects in Data Science are designed and vetted by industry experts from JP Morgan, Uber, and Paypal to provide you projects on most recent tools and technologies. You can use these projects to realise your dream of making a career in Data Science. The exciting part of learning from ProjectPro is that you will be provided with a customised learning path based on your previous knowledge in Data Science. So, if you are a beginner or a professional, we have got you covered.
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What is Data Mining with examples?
Data Mining is the process of using mathematical and statistical tools over a dataset to draw relevant inferences from it.
Data Mining Examples
Data Mining methods can be applied to intelligent anti-fraud systems for analysing card transactions, credit ratings, and for inspecting purchasing patterns through customers shopping data.
What are the three types of data mining?
There are many types of data mining which include
Graphic Data Mining
Mining the Social media content
Textual Data Mining
Video and Audio Mining
What can data mining be used for?
Data Mining can be your first step whenever you are working on a data science project. Before using the dataset for your data science project, you must thoroughly use data mining methods to know your dataset. This step will help you clean up your data and understand which algorithm should be used to make predictions.
How do you present a data mining project?
You can use GitHub for presenting a data mining project. After implementing the projects in environments like IPython Notebook , you can upload your project in your personal GitHub repository and share it with the concerned people. Make sure you provide enough content in the read-me file to make it easy for the repository visitor to understand your Data Mining project.
How to describe Data Mining Projects in Resume?
When describing data mining projects on a resume, it's important to provide specific details such as the data sources used, the techniques and data mining algorithms applied, and the insights gained. Highlight the impact of the project on the organization and any resulting improvements. Quantify the results wherever possible.
About the Author
Manika Nagpal is a versatile professional with a strong background in both Physics and Data Science. As a Senior Analyst at ProjectPro, she leverages her expertise in data science and writing to create engaging and insightful blogs that help businesses and individuals stay up-to-date with the
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